Year: 2025
Type: conference-paper
Abstract: We have pursued machine learning (ML) techniques to analyze solar energetic particle (SEP) data as supplements to traditional algorithmic analysis. Machine learning approaches have the potential to execute large surveys of SEP event data much faster than traditional algorithmic approaches and to identify features in large data sets that are unseen by traditional analysis without a priori knowledge of their existence. In this presentation, we apply classifiers to SEP time profiles to distinguish between SEP events with exponential decays (suggesting convective transport and adiabatic deceleration), power law decays (suggesting diffusive propagation), and irregular profile shapes, and we apply regressors to extract time decay constants from fittable decays. These time decay constants can also be used for broad surveys of inferred ionic charge states in SEP events using the technique of Sollitt et al. (2008). We have trained ML models with ACE/SIS and STEREO/LET data, with target data / labels obtained by algorithmic fits to identifiable exponential decays, and preliminary tests have yielded exponential decay classification with >90% accuracy to date. These time profiles include elements and energies available in ACE/SIS spacecraft data since the ACE spacecraft launched in 1997 (e.g. He, CNO, Ne, Mg, Si, and Fe, at energies up to 168 MeV/nuc for Fe). We have also completed initial regression analysis with ACE/SIS and STEREO/LET data, to obtain exponential decays using trained ML regressors.
DOI: 10.22323/1.501.1317
Authors: Allan Labrador, A. Mahabal, J. Zhou, E.R. Christian, C.M.S. Cohen, R.A. Leske, M.E. Wiedenbeck
Language: English
Subfield: Astronomy and Astrophysics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: hybrid
Awards: THE 2015 HELIOPHYSICS SENIOR REVIEW PANEL UNDERTOOK A REVIEW OF 15 MISSIONS CURRENTLY IN OPERATION IN APRIL 2015. THE PANEL FOUND THAT ALL THE MISSIONS CONTINUE TO PRODUCE SCIENCE THAT IS HIGHLY VALUABLE TO THE SCIENTIFIC COMMUNITY AND THAT THEY ARE AN EXCELLENT INVESTMENT BY THE PUBLIC THAT FUNDS THEM. AT THE TOP LEVEL THE PANEL FINDS: NASA S HELIOPHYSICS DIVISION HAS AN EXCELLENT FLEET OF SPACECRAFT TO STUDY THE SUN HELIOSPHERE GEOSPACE AND THE INTERACTION BETWEEN THE SOLAR SYSTEM AND INTERSTELLAR SPACE AS A CONNECTED SYSTEM. THE EXTENDED MISSIONS COLLECTIVELY CONTRIBUTE TO ALL THREE OF THE OVERARCHING OBJECTIVES OF THE HELIOPHYSICS DIVISION. O UNDERSTAND THE CHANGING FLOW OF ENERGY AND MATTER THROUGHOUT THE SUN HELIOSPHERE AND PLANETARY ENVIRONMENTS. O EXPLORE THE FUNDAMENTAL PHYSICAL PROCESSES OF SPACE PLASMA SYSTEMS. O DEFINE THE ORIGINS AND SOCIETAL IMPACTS OF VARIABILITY IN THE EARTH/SUN SYSTEM. ALL THE MISSIONS REVIEWED HERE ARE NEEDED IN ORDER TO STUDY THIS CONNECTED SYSTEM. PROGRESS IN THE COLLECTION OF HIGH QUALITY DATA AND IN THE APPLICATION OF THESE DATA TO COMPUTER MODELS TO BETTER UNDERSTAND THE PHYSICS HAS BEEN EXCEPTIONAL. THE FUNDS INVESTED IN THE MISSION OPERATION&DATA ANALYSIS (MO&DA) BUDGET ARE PROVIDING AN EXCELLENT RETURN IN TERMS OF OUR BETTER UNDERSTANDING THE GEOSPACE ENVIRONMENT IN WHICH OUR TECHNOLOGICAL SOCIETY FUNCTIONS. THE REVIEW NOTED A FEW SERIOUS PROBLEMS WITHIN THE PORTFOLIO. FOR VARIOUS REASONS SOME OF THE MISSIONS ARE NOT BEING FUNDED AT AN ADEQUATE LEVEL (THE TOTAL MO&DA BUDGET IS UNFORTUNATELY LOW SUCH THAT THERE IS NOT ENOUGH MONEY TO DO THE SCIENCE PROPOSED). FOR THE VOYAGER MISSION THERE ARE MULTIPLE PROBLEMS REGARDING DATA ACCESS AND ARCHIVAL STORAGE THAT NEED TO BE ADDRESSED. IN ADDITION THE PERFORMANCE OF THE MAGNETOMETER TEAM IS SERIOUSLY DEFICIENT. THE SDO MISSION HAS FINANCIAL AND MANAGEMENT PROBLEMS THAT NEED TO BE ADDRESSED AT THE NASA HQ LEVEL., MO&DA OF THE ADVANCED COMPOSITION EXPLORER MISSION
OpenAlex ID: W4414451055
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